Research on biologically motivated systems (genetic algorithms, neural networks, ant colonies algorithms) has been going on for many years now. For a number of reasons the investigation of properties of immune system of humans and animals fertilized recently a broad range of research in creating artificial immune systems. The special track on Artificial Immune Systems is intended for presentation of the progress achieved in the area. Original contributions are welcome including but not restricted to the following topics and applications:

• Simulation of natural immune systems,
• Learning idiotype systems,
• Exploratory data analysis,
• Clustering techniques based on immunological principles,
• Immunological data compression,
• Immunologoical genetic algorithms,
• Discrete and continuous optimization in static and dynamic environments,
• Anomaly detection and detection of intruders, new approaches to combating software viruses.

Internet is a vast source of information. Unfortunately it is useless unless we know where to find the piece of information we need. Search Engines and related tools are intended to tell us where the information is. Here we have to do with a non-trivial challenge for an artificial intelligent system: it has to "understand" the relationship between the intention of a natural language query formulated by a truly intelligent human (the internaut) and the content of natural language documents prepared by some other intelligent humans.
The special track on Search Engines is intended for presentation of the progress achieved in the area. Original contributions are welcome including but not restricted to the following topics:

• large scale search engines: design and implementation,
• personal search tools,
• intelligent spiders,
• on-line and off-line document clustering,
• static and dynamic document maps,
• intelligent navigation through hypertext document collections,
• translation of documents,
• linguistic research on Web documents,
• technologies of extraction of information from text and non-text documents,
• text mining,
• web mining,
• question answering versus document retrieval.

Natural language is the most obvious way of man-to-man communication but it is still very difficult to use for computer programs. To overcome this difficulty, a lot of effort has been devoted to provide computational models of various aspects of natural language usage. These results are incorporated into many working systems today, including speech recognition systems, text-to-speech synthesizers, automated voice response systems, web search engines, text editors, or information extraction systems. The special track on Computational Linguistics is intended for presentation of the progress in the domain of natural language processing systems. We encourage original contributions on a broad range of areas including but not restricted to:

• automatic text analysis,
• corpus-based language processing,
• statistical and machine learning methods in NLP,
• information retrieval, information extraction and text summarization,
• speech recognition and synthesis,
• question answering systems,
• dialogue systems,
• machine and machine-aided translation tools.